Showing 6 results for Type of Study: Letter to Editor
M Bazyar, E Barfar,
Volume 9, Issue 2 (10-2013)
Abstract
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Mh Mehrolhassani, Aa Haghdoost, R Dehnavieh, M Abolhallaje, M Emami,
Volume 12, Issue 0 (3-2017)
Abstract
Governance and leadership are seen as the most important function in the realization and promotion of community health. This two components through legislation must identify present situation, determine the desirable situation, provide infrastructures and implementation mechanisms and in accordance with stated policies and planning, they should apply necessary monitoring and control. In this regard, the most important challenge is a comprehensive and evidence-based identification and analysis, which can consider all functions in relation to the objectives at a general and coherent glance and assess the functions of the health system.
V Yazdi Feyzabadi , Z Khajeh, S Radmerikhi, Mh Mehrolhasani,
Volume 13, Issue 0 (3-2018)
Abstract
One of the main functions of the health systems in each country is health services delivery which includes a wide spectrum of four levels. The first level includes the reduction of disease prevalence, the second level includes early detection, screening and timely treatment. In the third level, we have rehabilitation and relief services, and finally the fourth level is reducing and controlling unnecessary medical interventions. Health services delivery should encompass all of the health needs of each population in the form of these levels. The focus on just one level leads to a reduction in the importance of other levels, and disrupts comprehensive services delivery. It is obvious that, paying attention to the prevention levels can have a significant impact on reducing the later costs and consequences. At present, the provision of services at different levels of Iran's health system is not balanced, and the promotion of these services requires more attention from health policymakers. The health system of Iran is more focused on treatment and medical services and there are many challenges such as poor stewardship and disadvantages of integrated systems in the rehabilitation, relief and palliative services.
S Rezaei, M Soofi, B Karami Matin,
Volume 13, Issue 3 (12-2017)
Abstract
Monireh Rahimkhani, Maryam Gilani,
Volume 20, Issue 1 (6-2024)
Abstract
Antibiotic resistance has increased significantly in recent years. On the other hand, machine learning (ML) algorithms are increasingly used in medical research and healthcare and are gradually improving clinical performance.
Using ML to fight antimicrobial resistance (AMR) is one of the most critical areas of interest among the various applications of these new methods. The rise of antibiotic resistance and managing multidrug-resistant infections that are difficult to treat are important challenges.
Both supervised and unsupervised machine learning tools have been successfully used to predict early antibiotic resistance and thus support clinicians in selecting the appropriate treatment. Machine learning and artificial intelligence (AI) in predicting antimicrobial resistance are among today's sciences. Therefore, an antimicrobial stewardship program (ASP) should be implemented to optimize antibiotic prescribing and limit AMR.
Aliakbar Haghdoost, Samira Emadi, Azam Bazrafshan,
Volume 20, Issue 2 (9-2024)
Abstract
The migration of elites has become a major challenge worldwide. In Iran, in recent years, there has been a remarkable increase in the number of immigrants. Migration often occurs in different ways including educational migration within geographical borders, field migration, experts avoiding professional activities, and forced or semi-forced migration. Due to the fact that each form of migration can lead to diverse problems, it is imperative to pay attention to the nature and complications of each type of migration in the discussion of human resources management.
